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ai-agents-for-beginners Review

A Microsoft course providing foundational knowledge and code to build AI agents from scratch.

shipped Jul 22, 2026freemium
Domain rating91Monthly visits389K/mo
ai-agents-for-beginners — product screenshot

Why it matters

1Offers 18 lessons on building AI agents from scratch.
2Utilizes Microsoft Agent Framework and Azure AI Foundry.
3Provides real working code samples for practical application.
4The course itself is free to access and complete.

About ai-agents-for-beginners

Platforms
Web
Target Audience
Beginners interested in AI development
GitHubOpen Source

Specs

API Available

Yes, public API

overview

What is ai-agents-for-beginners?

ai-agents-for-beginners is a comprehensive online course developed by Microsoft that enables developers and beginners to learn the fundamentals of building AI agents. This course provides foundational knowledge and real working code to start building AI Agents from scratch, covering concepts, frameworks, and design patterns for effective AI solutions. It guides learners from conceptual understanding to practical code implementation, focusing on creating intelligent systems where Large Language Models (LLMs) dynamically make decisions, including tool use, reasoning, and task routing. The curriculum delves into agent architecture, various agent types, and agentic design patterns such as ReAct prompting, memory management, and self-reflection, with hands-on experience using frameworks like AutoGen and Semantic Kernel.

features

Key Features of ai-agents-for-beginners

ai-agents-for-beginners offers a structured learning experience with several key features designed to facilitate the understanding and implementation of AI agents. The course provides multi-language support, making it accessible to a broader audience. It includes hands-on coding examples that allow learners to apply theoretical concepts directly. A core feature is its usage of the Microsoft Agent Framework, which unifies Semantic Kernel and AutoGen, providing a consistent development environment. Furthermore, the course demonstrates integration with Microsoft Foundry, showcasing how to leverage Microsoft's cloud services for AI agent deployment and management.

  • Multi-language support for broader accessibility.
  • Lessons covering AI fundamentals and advanced agentic patterns.
  • Hands-on coding examples for practical skill development.
  • Usage of the Microsoft Agent Framework for unified development.
  • Integration with Microsoft Foundry for cloud-based agent solutions.
  • Exploration of agent architecture (environment, sensors, actuators, LLM brain).
  • Guidance on agent types and agentic design patterns like ReAct prompting and self-reflection.

use cases

Who Should Use ai-agents-for-beginners?

ai-agents-for-beginners is primarily designed for individuals seeking to acquire foundational knowledge and practical skills in building AI agents. The course targets learners interested in AI agents, AI builders, and developers who want to understand the principles and implementation of intelligent systems. It is also relevant for security analysts, system administrators, and DevOps engineers looking to integrate AI agent capabilities into their workflows or manage agentic solutions. The curriculum is structured to support those who need to design basic agentic solutions for real-world problems and build AI agents from scratch using provided code samples.

  • Learners interested in AI agents: To grasp the fundamentals of AI agents and their various types.
  • AI builders and Developers: To understand when to apply AI agents to tasks and design basic agentic solutions.
  • Security analysts, System administrators, DevOps engineers: To explore agentic patterns for LLM orchestration and integrate AI agents into operational tasks.
  • Individuals seeking practical skills: To build AI agents from scratch with real working code samples.

how to use

How to Use ai-agents-for-beginners

To begin using ai-agents-for-beginners, users can access the course directly through the Microsoft Learn platform or its GitHub repository. The course is structured into 10 to 18 lessons, providing a sequential path from conceptual understanding to practical implementation.

  • 1Navigate to the official course page on Microsoft Learn (aka.ms/ai-agents-beginners) or the GitHub repository.
  • 2Review the course outline to understand the 10-18 lessons covering AI agent fundamentals.
  • 3Engage with the provided hands-on coding examples and real working code samples.
  • 4Utilize an Azure account for specific code samples that require Azure AI Foundry.
  • 5Study agent architecture, types, and design patterns like ReAct prompting and memory management.
  • 6Experiment with agentic frameworks such as AutoGen and Semantic Kernel as demonstrated in the lessons.

pricing

ai-agents-for-beginners Pricing & Plans

The 'AI Agents for Beginners' course itself is free to access and complete, making it an accessible educational resource. While the course content is free, some code samples and practical exercises may require an Azure account, which can incur costs depending on the usage of Azure services. Microsoft also offers related professional certifications, such as the 'Microsoft Certified: AI Agent Builder Associate,' which requires passing an exam (AB-620) and has associated fees for the exam and any preparatory courses.

  • Freemium: Free access to all 18 lessons and course content.

Pros

  • +Free access to comprehensive AI agent development curriculum.
  • +Provides real working code samples for practical learning.
  • +Strong focus on Microsoft Agent Framework (MAF), unifying Semantic Kernel and AutoGen.
  • +Covers foundational concepts, agent architecture, and design patterns.
  • +Well-structured with 10 to 18 lessons suitable for beginners.
  • +Developed by Microsoft, ensuring authoritative content.

Cons

  • Tight Azure coupling may limit transferability of skills to non-Azure environments.
  • Requires an Azure account for some code samples, potentially incurring costs.
  • Does not offer an API for direct integration with other systems.
  • Specific models and multimodality capabilities are not explicitly detailed within the course overview.

Policies

Pricing Page

View Pricing

Similar Tools

ai-agents-for-beginners vs Competitors

ai-agents-for-beginners occupies a distinct position in the educational landscape for AI agent development, primarily due to its direct affiliation with Microsoft and its focus on the Microsoft Agent Framework.

1
Microsoft Learn

Offers a structured, 10-lesson course directly from Microsoft, often integrating with their Azure AI ecosystem.

This course is very similar in scope and target audience to 'ai-agents-for-beginners', providing foundational knowledge and real working code for building AI agents. Both offer structured lessons for beginners, likely with a free pricing model for introductory content.

2
Salesforce Trailhead

Provides free, interactive, and gamified learning paths focused on AI and building agents, often within the Salesforce ecosystem.

Similar to 'ai-agents-for-beginners' as a free educational resource for beginners in AI agent development. Trailhead often includes hands-on exercises and quizzes, which can offer a more interactive learning experience compared to a purely lesson-based format.

3
Udemy

A marketplace offering a comprehensive 'AI Agents for Beginners' course with hands-on projects, taught by independent instructors.

This specific course is directly comparable in content and target audience to 'ai-agents-for-beginners', focusing on foundational concepts and practical application. While 'ai-agents-for-beginners' is a specific set of lessons, Udemy's platform model involves individual course purchases, though many introductory courses are free or frequently discounted.

4
Codecademy

Focuses on interactive, hands-on coding exercises and projects to teach AI agent development, often with a freemium model for basic content.

Directly comparable as a beginner-focused educational platform for AI agents, with its 'Intro to AI Agents' course being free. Codecademy's emphasis on interactive coding and practical application might differentiate it from a purely lesson-based approach, though both aim to teach practical skills for building AI agents.

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